Scholé is a learning platform that leverages LLMs and Generative AI to offer personalized data science upskilling content that is specific to a job-relevant context. With distinct goal-oriented (short term) and profession-oriented (long term) tracks, it supports immediate user-specified problem-solving and broader professional upskilling, respectively. Olé, our AI-tutor, helps learners customize their curriculum based on a directed graph of data science topics and supports self-regulated learning through goal setting, progress tracking, and study habit recommendations.
Vinitra Swamy
PhD, EPFL
Vinitra is a fourth-year PhD coadvised by the ML4ED and MLO labs of EPFL. Her PhD is on explainable AI for education providing personalized and tailored assistance to students in online courses, especially in contexts where teachers are not present. She helped scale UC Berkeley’s first data science course from 100 students to 1,700 students a semester, reaching students from over 60 major disciplines and achieving a 50-50 gender ratio. She then lectured the flagship data science offering at UC Berkeley in the summer of 2018, as well as a ML course at UW in 2020, while working for two years on the interoperability of AI frameworks as an AI engineer at Microsoft.